Description
Date depot: 1 octobre 2020
Titre: Data-driven Joint Optimization of Access, Transport, and Edge Cloud Resources in beyond 5G Virtualized Wireless Networks
Directeur de thèse:
Thrasyvoulos SPYROPOULOS (Eurecom)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
The objective of this thesis is to develop models and algorithms for the creation and optimization of dynamic e2e slices over joint MEC/RAN infrastructures, full exploiting radically new technologies specific to 5G (functional split, X-haul design, slicing). Specifically, it will go provide beyond state-of-the-art (SoA) tools for e2e modeling, optimization and orchestration enabling integrated access and backhaul for beyond 5G networks.
Doctorant.e: Doanis Pavlos